Developing machine learning models for air temperature estimation using MODIS data by Ovando, Gustavo, Sayago, Silvina, Bocco, Mónica

“…Artificial neural networks (ANN) and random forests (RF) models were developed to predict these temperatures covering weather stations in Córdoba (Argentina) for 2018-2020. The results show that RF and ANN machine learning algorithms are capable of modeling non-linear relationships between registered temperatures and LST MODIS data, in a very robust way. …”
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